We propose four methods in total.
Three of them are direct modeling of \(p(x|c)\)  by modification of token embedding or hidden states.
The other one models \(p(x) p(c|x)\)  by the consideration of next-token distribution.
We combine those four methods into one and compare our results with PPLM [1]}.
Some examples of the text generated by our proposed method is in Table REF .
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